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xwf  

Extrema-Weighted Feature Extraction
View on CRAN: Click here


Download and install xwf package within the R console
Install from CRAN:
install.packages("xwf")

Install from Github:
library("remotes")
install_github("cran/xwf")

Install by package version:
library("remotes")
install_version("xwf", "0.2-3")



Attach the package and use:
library("xwf")
Maintained by
Willem van den Boom
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-03
Latest Update: 2020-02-20
Description:
Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in van den Boom et al. (2018) <doi:10.1093/bioinformatics/bty120>.
How to cite:
Willem van den Boom (2017). xwf: Extrema-Weighted Feature Extraction. R package version 0.2-3, https://cran.r-project.org/web/packages/xwf. Accessed 15 Sep. 2026.
Previous versions and publish date:
(2026-07-26 08:00), 0.1-1 (2017-10-03 15:23), 0.2-0 (2018-01-03 16:09), 0.2-1 (2018-01-31 18:59), 0.2-2 (2018-07-12 07:50), 0.2-3 (2020-02-20 08:00)
Other packages that cited xwf R package
View xwf citation profile
Other R packages that xwf depends, imports, suggests or enhances
Complete documentation for xwf
Functions, R codes and Examples using the xwf R package
Some associated functions: XWFpValues . default_psi . xwf . xwfGAM . xwfGridsearch . 
Some associated R codes: XWFpValues.R . default_psi.R . xwf.R . xwfGAM.R . xwfGridsearch.R .  Full xwf package functions and examples
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